Triple
T524728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Religious Society of Friends |
E10892
|
entity |
| Predicate | hasDiversity |
P7875
|
FINISHED |
| Object | evangelical Friends |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: evangelical Friends | Statement: [Religious Society of Friends, hasDiversity, evangelical Friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiversity Context triple: [Religious Society of Friends, hasDiversity, evangelical Friends]
-
A.
diversity
Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
-
B.
centerOfDiversity
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
-
C.
hasDiverseLandscape
Indicates that an entity possesses a variety of distinct physical or environmental features within its geographic area.
-
D.
diversifiedIn
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
-
E.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.